DOCSLIB.ORG

AAAI Proceedings Template

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
AAAI Proceedings Template Kendal, Simon (2012) Selected Computing Research Papers Volume 1 June 2012. Selected Computing Research Papers . University of Sunderland, Sunderland. Downloaded from: http://sure.sunderland.ac.uk/id/eprint/9586/ Usage guidelines Please refer to the usage guidelines at http://sure.sunderland.ac.uk/policies.html or alternatively contact [email protected]. Selected Computing Research Papers Volume 1 June 2012 Dr. S. Kendal (editor) Published by the University of Sunderland The publisher endeavours to ensure that all its materials are free from bias or discrimination on grounds of religious or political belief, gender, race or physical ability. This material is copyright of the University of Sunderland and infringement of copyright laws will result in legal proceedings. © University of Sunderland 2012 Authors of papers enclosed here are required to acknowledge all copyright material but if any have been inadvertently overlooked, the University of Sunderland Press will be pleased to make the necessary arrangements at the first opportunity. Edited, typeset and printed by Dr. S Kendal University of Sunderland David Goldman Informatics Centre St Peters Campus Sunderland SR6 0DD Tel: +44 191 515 2756 Fax: +44 191 515 2781 Contents Page An Evaluation of Anti-phishing Solutions (Arinze Bona Umeaku) ..................................... 1 A Detailed Analysis of Current Biometric Research Aimed at Improving Online Authentication Systems (Daniel Brown) .............................................................................. 7 An Evaluation of Current Intrusion Detection Systems Research (Gavin Alexander Burns) .................................................................................................... 13 An Analysis of Current Research on Quantum Key Distribution (Mark Lorraine) ............ 19 A Critical Review of Current Distributed Denial of Service Prevention Methodologies (Paul Mains) ............................................................................................... 29 An Evaluation of Current Computing Methodologies Aimed at Improving the Prevention of SQL Injection Attacks in Web Based Applications (Niall Marsh) .............. 39 An Evaluation of Proposals to Detect Cheating in Multiplayer Online Games (Bradley Peacock) ............................................................................................................... 45 An Empirical Study of Security Techniques Used In Online Banking (Rajinder D G Singh) .......................................................................................................... 51 A Critical Study on Proposed Firewall Implementation Methods in Modern Networks (Loghin Tivig) .................................................................................................... 57 An Evaluation of Anti-phishing Solutions Arinze Bona-Umeaku Abstract Phishing as an online threat has resulted in the development of currently available anti-phishing solutions. Most of these solutions are automated web-based tools that warn users against phishing sites and protect users from third party invasion on their details when accessing a genuine website. In this paper we closely evaluate the performance of a web content system and a password protection system using documented evidence to summarize findings and offer a proposed solution. 1 Introduction 2 Web Content Systems One of the major internet threats is phishing. Phishing which has turned out to be a major 2.1 Anti-phishing Toolbars problem in the advancement of e-commerce In respect to this paper where we evaluate bringing doubts to the minds of customers on automated phishing solution, research has been the use of internet as a business tool. It has been done in the area of automated anti-phishing noticed that phishing attacks progressively detection solution for example the spoofguard increases year after year, (Chen et al. 2011) this (Zhang et al. 2007) which checks the website for has also been seen in more recent attacks against certain characteristics like the host name, Sony‟s Play station network and Epsilon. This traceable spoofing techniques and checking has resulted in several businesses and against previously marked images. Various organisations investing substantial amount of software vendors have developed anti-phishing research to find lasting solution (APWG, 2011). tool bars that identify a page as a phishing site For example companies like Cyveillance anti- or legitimate site using methods of blacklisting phishing is dedicated to providing anti-phishing (list of fake websites), whitelisting (list of solutions to organisations to enable them genuine websites) and user ratings (Cao et al. prevent, detect and recover from phishing 2008). Some of such examples are outlined attacks. Some software vendors offer toolbars below; Google makes available the source code that help users identify genuine sites (Zhang et for the safe browsing feature and claims that it al. 2007). cross-checks URLs against a blacklist. E-bay also developed a toolbar that uses both In this paper we evaluate methods that have heuristics and blacklists to identify fraudulent been proposed through series of research and URLs, It was also developed in a way were how they have performed towards the anti- users can report newly identified fraudulent phishing crusade. Among other methods sites. In internet explorer Microsoft also mentioned here we would take a close look at embedded a phishing filter which uses heuristics two systems, a content web-based automated as well as depends largely on the blacklist system and an authentication system that hosted by Microsoft and option for users to prevents a preset password. After which a report suspected sites. The Netcraft toolbar practical solution from evaluations made, based which was built to use a log of blacklisted on tangible evidence, implementation and tests websites hosted by Netcraft and a list of sites that has been carried out in previous research identified by users but confirmed by Netcraft. papers. 1 Having evaluated this using publicly available information provided by the toolbar download websites (APWG, 2011) it was discovered that majority of the tool bars mentioned above used blacklists to identify fraudulent sites, but not all Figure 1 were able to accurately identify phishing sites Where is number of phishing (Reddy, 2011). This could be as a result of the pages which are rightly labelled as phishing, and size of blacklist used by each toolbar therefore a is number of phishing pages. The list with more tagged and user updated sites will higher TP value the better the detector. While perform better than that with fewer list of false positive rate measures the percentage of phishing sites. Also the heuristics used could legitimate sites which are falsely labeled as have been used to detect other sites that have not positive phishing and it is computed by (Figure been put in the blacklist. Although spoofguard 2) (He et al. 2011). was the only tool bar that did not use blacklist instead it used heuristics still missed some phishing sites and had a high rate of false positive (genuine sites mistaken for fraudulent) this could probably be improved by the addition of whitelist (list of genuine sites) Figure 2 2.2 Automated Webpage Detector Where is number of Meanwhile the solution Presented here by (He et legitimate pages which are wrongly labeled as al. 2011) is a heuristic solution to determine if a phishing and is number of website is a genuine or a phishing page, based legitimate pages(He et al. 2011). This means on its content, HTTP transaction and search that when there is a lower FP value the betterr engine results. According to He et al (2011) this the detector. solution identifies phishing sites without using the blacklist technique. This is done by Experiment 1 converting a web page into 12 features which 100 login pages of top targeted legitimate are selected based on exisiting normal and websites (He et al. 2011) were collected. phishing page. This method claims to help users Another 100 webpages consisting the following identify a phishing website before it is were collected; blacklisted or shutdown as is the case with the 35 Homepage of top targeted websites, 35 Top blacklist-based anti-phisihng toolbar mentioned pages, 30 Random pages from a list of 500 above. Also claiming that the solution is able to pages used in 3Sharp‟s phishing study. (He et extract a webpage identity using the famous tf- al. 2011) idf (frequency-in-verse document frequency) From the 200 legitimate and 325 phishing method and this identity would be the basis for pages, 50 legitimate and 50 phishing pages as determing a phishing or legitimate webpage the training set. The 50 legitimate pages consist using an SVM (support vector machine) of: classifier. 10 login pages of top targeted websites 15 Homepages of top Alexa websites Two different experiments were conducted 10 Homepage of top targeted websites using two different testing data-set to evalute the 15 pages from 3Sharp list. method. There are two metrics used to evalute Therefore classification result is shown below the performance; true posititve(TP) rate and as: false posititve (FP) rate where the true positive True positive rate of the method is 97.33% and rate measures the percentage of phishing site false positive rate is low at 1.45%. Although which correctly labeled as positive phishing and most of the phishing pages used here were it is computed by (Figure 1) (He et al. 2011). already shutdown at the time of the test. Below
Load more

Recommended publications
  • Impact of Distributed Denial-Of-Service Attack On
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Sheffield Hallam University Research Archive Impact of Distributed Denial-of-Service Attack on Advanced Metering Infrastructure Satin Asri1 and Bernardi Pranggono2 1Department of Computer Science and Engineering Manipal Institute of Technology Manipal, India Email: [email protected] 2School of Engineering and Built Environment Glasgow Caledonian University Glasgow, UK Email: [email protected] Abstract The age of Internet of Things (IoT) has brought in new challenges specifically in areas such as security. The evolution of classic power grids to smart grids is a prime example of how everything is now being connected to the Internet. With the power grid becoming smart, the information and communication systems supporting it is subject to both classical and emerging cyber-attacks. The article investigates the vulnerabilities caused by distributed denial-of-service (DDoS) attack on the smart grid advanced metering infrastructure (AMI). Attack simulations have been conducted on a realistic electrical grid topology. The simulated network consisted of smart meters, power plant and utility servers. Finally, the impact of large scale DDoS attacks on the distribution system’s reliability is discussed. Keywords advanced metering infrastructure (AMI); distributed denial-of- service (DDoS); smart grid; smart meter 1 Introduction In 2011 McAfee reported over 60% of critical infrastructure companies regularly found malware designed to attack their systems. Smart grid is arguably the most fundamental cyber-physical infrastructures of the humankind and modern society. Smart grid and advanced metering infrastructure (AMI) or commonly known as the smart meter are considered as the main signs of classical electrical grids evolution toward smarter grids.
    [Show full text]
  • Guide to Ddos Attacks November 2017
    TLP: WHITE Guide to DDoS Attacks November 2017 This Multi-State Information Sharing and Analysis Center (MS-ISAC) document is a guide to aid partners in their remediation efforts of Distributed Denial of Service (DDoS) attacks. This guide is not inclusive of all DDoS attack types and references only the types of attacks partners of the MS-ISAC have reported experiencing. Table Of Contents Introduction .................................................................................................................................................................. 1 Standard DDoS Attack Types ................................................................................................................................... 4 SYN Flood ................................................................................................................................................................ 4 UDP Flood................................................................................................................................................................ 5 SMBLoris .................................................................................................................................................................. 7 ICMP Flood .............................................................................................................................................................. 8 HTTP GET Flood .................................................................................................................................................
    [Show full text]
  • A Contemporary Survey and Taxonomy of the Distributed Denial-Of- Service Attack in Server
    International Journal of Computer Trends and Technology (IJCTT) – Volume 63 Number 1 – September 2018 A Contemporary Survey and Taxonomy of the Distributed Denial-of- Service Attack in Server B.Hemalatha#1, Dr.N.Sumathi#2 #1 Research Scholar, Department of Information Technology,Ramakrishna College of Arts and Science, Coimbatore,Tamil Nadu, India #2 Head ,Department of Information Technology,Ramakrishna College of Arts and Science, Coimbatore,Tamil Nadu, India Abstract Distributed Denial-of-service (DDoS) attack is instigate DDoS attacks from number of compromised one of the most perilous threats that could cause host and take down virtually any connection, any overwhelming effects on the web. The name entails, it’s network on the Internet or web by just a little command an attack with the purpose of denying service to keystrokes. legitimate users, Distributed Denial of Service (DDoS) is defined as an attack in which several conciliation DDoS attack works in different faces like flooding systems are made to attack and make the targeted attack or SYN flooding attack, logic attack and systems services unavailable, this attack deliberately protocol-based attack. designed to render a system or network incapable of providing normal services. DDoS attack affects the (a)Flooding attack or SYN flooding attack is an computing environment, communication and server attack in which it sends unwanted malicious packets to resources such as connectivity sockets, processing the network, i.e. either the node may send duplicated elements, memory, data bandwidth, network routing packets or the node systems may send the unique process etc for mutually connected system environment packets which exceed its appropriate limit.
    [Show full text]
  • Distributed Denial of Service Attacks, Tools and Defence Mechanisms
    International Journal of Pure and Applied Mathematics Volume 120 No. 6 2018, 3423-3437 ISSN: 1314-3395 (on-line version) url: http://www.acadpubl.eu/hub/ Special Issue http://www.acadpubl.eu/hub/ DISTRIBUTED DENIAL OF SERVICE ATTACKS, TOOLS AND DEFENCE MECHANISMS Mr. KISHORE BABU DASARI1, Dr. D NAGARAJU2, ASST. PROFESSOR, DEPT OF CSE, KMIT PROFESSOR HOD, DEPT OF IT, LBRCE [email protected] dnagaraj [email protected] June 11, 2018 Abstract Denial Of Service (DOS) attacks are the eminent network attacks in todays internet world. Their target is to wreck the resources of the victim machine. A DOS is assayed by a person, the DOS attack essayed by apportioned persons, is called Distributed Denial Of Service (DDOS). This paper evinces, the DDOS attack architecture, DDOS attack types, DDOS attack tools, and DDoS attack defence mechanisms. This paper, essentially unveils the DDoS attack defence, based on location posit and on activity deployment. This paper presents the boon and bane, of the different DDoS defence mechanisms. The desired objective of this paper, is to sort and properly organize the attacks and existing mechanisms, in codified order, for a better know-how and understanding, of DDOS attacks. Keywords: Denial Of Service; Distributed Denial Of Service; DDOS tools; DDOS Defence. 1 3423 International Journal of Pure and Applied Mathematics Special Issue 1 INTRODUCTION Networks attacks, repudiate the access of computer network resources by using malignant node, known as availability based network attacks. Denial Of Service(DOS)[1][5][23], is sort of an active information security attack, which is an emphatic trial to squander the victim resources, like a machine or network resource provisionally or perpetually, for legitimate users by an enormous amount of pernicious packets which are sent from a single machine.
    [Show full text]
  • S. Shiaeles: Real Time Detection and Response of Distributed Denial of Service Attacks for Web Services
    Contents Real time detection and response of distributed denial of service attacks for web services A thesis submitted for the degree of Doctor of Philosophy by Stavros Shiaeles Democritus University of Thrace Department of Electrical and Computer Engineering Xanthi, October 2013 i Contents Copyright ©2013 Stavros Shiaeles Democritus University of Thrace Department of Electrical and Computer Engineering Building A, ECE, University Campus – Kimmeria, 67100 Xanthi, Greece All rights reserved. No parts of this book may be reproduced or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the author. ii Contents I would like to dedicate this thesis to my parents. iii Contents iv Contents Contents Advising Committee of this Doctoral Thesis .................................... ix Approved by the Examining Committee .......................................... xi Acknowledgements ........................................................................ xiii Abstract ......................................................................................... xv Extended Abstract in Greek (Περίληψη) ......................................... xvii List of Figures ................................................................................ xxiii List of Tables .................................................................................. xxv Abbreviations ................................................................................. xxvii Chapter 1: Introduction
    [Show full text]
  • Distributed Denial of Service Attacks on the Rise: What Community Bank Ceos Should Know
    Illinois Department of Financial and Professional Regulation Division of Banking PAT QUINN MANUEL FLORES Governor Acting Secretary Memorandum To: All Illinois Financial Institutions From: Manny Flores, Acting Secretary Subject: Distributed Denial of Service Attacks planned for May 7, 2013 As you are probably aware, cyber thieves and hacktivist groups (hackers that disrupt online services for social causes) are increasingly in the news for their use of distributed denial of service (DDoS) attacks on the banking system. Recently a group of hacktivists announced on Pastebin (a publicly available website where hacktivists post announcements) that they plan to initiate a campaign of cyber-attacks, named OpUSA, against U.S. financial institutions’ websites beginning today, May 7th. Previous efforts by this group have had limited impact; however, there have been additional Pastebin postings inviting other hacktivists groups to join or support the planned attacks. The FBI has been reaching out to financial institutions directly to inform them of these postings. I’ve enclosed information about Distributed Denial of Service Attacks and the steps you can take to help minimize the risk of an attack. Please share this information with your institutions Incident Response Team. Also enclosed you will find the latest FBI Liaison Alert System (FLASH Message) message. FLASH message contains critical technical information collected by the FBI for use by both interagency and private sector partners. This report is intended for liberal distribution throughout the financial sector to provide recipients with actionable intelligence, which will aid in timely victim notification and response. Every FLASH Message has a unique alpha-numeric tag, which can be located at the top of each report.
    [Show full text]
  • Ddos Handbook.Pdf
    DDoS HANDBOOK THE ULTIMATE GUIDE TO EVERYTHING YOU NEED TO KNOW ABOUT DDoS ATTACKS SHARE THE DDoS HANDBOOK © 2015 Radware, Ltd. All Rights Reserved. Radware and all other Radware product and service names are registered trademarks of Radware in the U.S. and other countries. All other trademarks and names are the property of their respective owners. DDoS Handbook Table of Contents 1 Introduction ...........................................................................................................4 2 A Quick Look Back .................................................................................................5 3 Recent History: Notable Cyber-Attacks of 2014 ......................................................8 4 Attack Types ........................................................................................................10 5 Attack Tools .........................................................................................................19 6 Enterprise Security: Then and Now.......................................................................24 7 What Lies Ahead: Predictions for 2015 and Beyond ..............................................29 8 DDoS Mitigation Considerations ...........................................................................31 9 Checklist: How to Evaluate a Vendor for DDoS & Cyber-Attack Mitigation .............35 10 DDoS Dictionary ..................................................................................................37 1 Introduction Since the first denial of service (DoS) was
    [Show full text]
  • A Comprehensive Study on Distributed Denial of Service Attacks and Defense Mechanisms
    International Journal of Computer Applications (0975 – 8887) International Conference on Information and Communication Technologies (ICICT- 2014) A Comprehensive Study on Distributed Denial of Service Attacks and Defense Mechanisms Pavithra K.C Snitha Shetty Dr. Nagesh H.R IV Semester, M.Tech. IV Semester, M Tech. Professor & Head Dept. of CSE Dept. of CSE Dept. of CSE MITE, Moodabidri MITE, Moodabidri MITE, Moodabidri ABSTRACT Service (DDoS) attack. The result of a DDoS attack is The advances in information technologies in the internet are amplified and the problem of defence is made tougher by increasing the possibility of attacks exponentially. Denial of using multiple attackers. In such cases, it is harder to detect Service (DoS) and Distributed Denial of Service (DDoS) and block attackers manually, so special defences are needed attacks are increasing rapidly across the internet world. Denial to detect and defend against such large-scale attacks. of Service (DoS) is an attack on availability of a service. The Attackers infect thousands of computers spread across the attack aims at denying of an approved service to a legitimate world with sophisticated malware technologies in order to user. When a group of attackers perform DoS attack on a gain unauthorized access to such systems. Attackers do not common target, the attack is known as DDoS. The most really control their attacking machines.Thousands of common method of performing a DoS or a DDoS attacks is to compromised machines act as an army under the command of flood the target or network with unwanted traffic, causing one attacker. Such a collection of thousands of machines is interruptions to the communication of legitimate users.
    [Show full text]
  • The Ultimate Guide to Everything You Need to Know About Ddos Attacks
    DDoS SURVIVAL HANDBOOK The Ultimate Guide to Everything You Need To Know About DDoS Attacks How to: » Identify Attack Types and Understand Their Effects » Recognize Attack Tools » Protect Your Organization Against DoS and DDoS Attacks SHARE THE DDoS SURVIVAL HANDBOOK 1 © 2013 Radware, Ltd. All Rights Reserved. Radware and all other Radware product and service names are registered trademarks of Radware in the U.S. and other countries. All other trademarks and names are the property of their respective owners. Table of Contents 1 Introduction ................................................................................... 4 2 Understanding DoS and DDoS Attacks .......................................... 6 3 Evolution of DDoS .......................................................................12 4 Who is Behind the Attacks and What are the Motives? ................16 5 What It’s Like to Get Hit With a DDoS Attack – An Inside View ......20 6 Attack Types and Their Effects ......................................................25 7 Attack Tools .................................................................................38 8 Protecting Your Organization from DDoS Attacks ..........................43 9 Conclusion ..................................................................................52 Introduction 1 Although the Internet was designed to allow for easy sharing of information between various interconnected computers and networks, it was not designed with security in mind. The digital equivalents of viruses, pathogens, and
    [Show full text]
  • Methods and Techniques for Dynamic Deployability of Software-Defined
    ALMA MATER STUDIORUM · UNIVERSITA` DI BOLOGNA Dottorato di Ricerca in Ingegneria Elettronica, Telecomunicazioni e Tecnologie dell’Informazione Ciclo XXXII Settore concorsuale: 09/F2 - TELECOMUNICAZIONI Settore scientifico disciplinare: ING-INF/03 - TELECOMUNICAZIONI METHODS AND TECHNIQUES FOR DYNAMIC DEPLOYABILITY OF SOFTWARE-DEFINED SECURITY SERVICES Presentata da: Roberto Doriguzzi Corin Coordinatore dottorato: Supervisori: Prof. Alessandra Costanzo Prof. Franco Callegati Dr. Domenico Siracusa Dipartimento di Ingegneria dell’Energia Elettrica e dell’Informazione “Guglielmo Marconi” Esame finale anno 2020 1 Abstract ith the recent trend of “network softwarisation”, enabled by emerging tech- W nologies such as Software-Defined Networking (SDN) and Network Func- tion Virtualisation (NFV), system administrators of data centres and enterprise net- works have started replacing dedicated hardware-based middleboxes with virtualised network functions running on servers and end hosts. This radical change has facili- tated the provisioning of advanced and flexible network services, ultimately helping system administrators and network operators to cope with the rapid changes in service requirements and networking workloads. This thesis investigates the challenges of provisioning network security services in “softwarised” networks, where the security of residential and business users can be provided by means of sets of software-based network functions running on high performance servers or on commodity compute devices. The study is approached from the perspective of the telecom operator, whose goal is to protect the customers from network threats and, at the same time, maximize the number of provisioned services, and thereby revenue. Specifically, the overall aim of the research presented in this thesis is proposing novel techniques for optimising the resource usage of software-based security services, hence for increasing the chances for the operator to accommodate more service requests while respecting the desired level of network security of its customers.
    [Show full text]
  • Security Best Practices for Non-Voting Election Technology
    October 2019 v1.1 Security Best Practices Network & Hosting for Non-Voting Election Technology Recommendations: ★ ★ ★ ★★ ★ ★ ★ ★ Security Best Practices for Non-Voting Election Technology About CIS Center for Internet Security, Inc. (CIS®) is a forward-thinking, non-profit entity that harnesses the power of a global IT community to safeguard private and public organizations against cyber threats. Our CIS Controls® and CIS Benchmarks™ are the global standard and recognized best practices for securing IT systems and data against the most pervasive attacks. These proven guidelines are continuously refined and verified by a volunteer, global community of experienced IT professionals. CIS is home to the Multi-State Information Sharing and Analysis Center® (MS-ISAC®), the go-to resource for cyber threat prevention, protection, response, and recovery for U.S. State, Local, Tribal, and Territorial government entities, and the Elections Infrastructure Information Sharing and Analysis Center® (EI-ISAC®), which supports the cybersecurity needs of U.S. State, Local and Territorial elections offices. Except as otherwise specified herein, the content of this publication is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC-BY-NC-SA-4.0). https://creativecommons.org/licenses/by-nc-sa/4.0/ 31 Tech Valley Drive East Greenbush, New York 12061 T: 518.266.3460 F: 518.266.2085 www.cisecurity.org Follow us on Twitter @CISecurity Security Best Practices for Non-Voting Election Technology Table of Contents 1 Acknowledgments
    [Show full text]
  • Towards Iot-Ddos Prevention Using Edge Computing
    Towards IoT-DDoS Prevention Using Edge Computing Ketan Bhardwaj, Joaquin Chung Miranda, Ada Gavrilovska Georgia Institute of Technology Abstract Google’s Project Shield [9], Akamai [11] or CloudFlare [12], Application-level DDoS attacks mounted using compro- who offer on-demand DDoS protection as a service. mised IoT devices are emerging as a critical problem. The Can the Edge Help? In this paper, we explore an approach application-level and seemingly legitimate nature of traffic which leverages computational resources in the edge of the in such attacks renders most existing solutions ineffective, network to accelerate the defense from IoT-DDoS attacks, and and the sheer amount and distribution of the generated traffic arrest them before they can cause considerable damage to both make mitigation extremely costly. This paper proposes a new the attack target as well the Internet infrastructure itself. approach which leverages edge computing to deploy edge We are motivated by the following observations. First, de- functions that gather information about incoming traffic and tection of a DDoS is best done close to the victim, whereas its communicate that information via a fast-path with a nearby mitigation and prevention are most effective close to the attack detection service. This accelerates the detection and the arrest source. Second, the emergence of a new infrastructure tier of such attacks, limiting their damaging impact. Preliminary at the edge of the network, including mobile edge computing investigation shows promise for up to 10x faster detection that (MEC) access points [33], fog computing gateways [26], and reduces up to 82% of the Internet traffic due to IoT-DDoS.
    [Show full text]